YouTube
Analytics
SEO

YouTube Analytics

A research-heavy skill for evaluating YouTube channels, recent uploads, and topic opportunities using the YouTube Data API.

Overview

This skill helps an agent inspect channel-level metrics, recent uploads, and video-by-video performance without falling back to vague creator advice.

It is built around concrete API calls, practical benchmarks, and a repeatable analysis flow for finding what is working, what is underperforming, and where new content gaps exist.

Best For

  • Channel health checks and performance reviews
  • Comparing your channel against other developer channels
  • Spotting content gaps and keyword opportunities
  • Reviewing title, description, and tag quality

What You Get

  • Channel overviews with actionable metrics
  • Top-performer breakdowns and recurring patterns
  • SEO observations tied to public YouTube data

Example Usage

Audit my YouTube channel @nltech1 and tell me which topics are outperforming the rest of the last 25 uploads.
Compare @nltech1 against @ThePrimeTimeagen and @Fireship on upload frequency, average views per video, and recent momentum.
Analyze this video https://youtu.be/ypktibw0Zjw and give me a short SEO review based on the title, metadata, and public performance signals.

How to Install

Use in Claude Code

Each skill archive now includes a dedicated Claude Code installer that creates a user-level subagent plus any companion files the skill needs.

  1. Download the skill archive and extract it so the skill folder still contains `SKILL.md` and the four installer scripts.
  2. Run `install-claude-mac-linux.sh` on macOS/Linux or `install-claude-windows.ps1` on Windows from inside the extracted skill folder.
  3. Restart Claude Code or start a new session so the installed subagent is available.
# macOS / Linux
./install-claude-mac-linux.sh

# Windows PowerShell
pwsh -File .\install-claude-windows.ps1

The Claude installers target the user-level subagent directory and also install a companion folder when the skill needs scripts, examples, or other supporting files.